A simple method to find a robust output feedback controller by random search approach

• Published in: ISA transactions Vol. 45; no. 1; pp. 35 - 44
• Main Author: Toscano, R.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 2006; Elsevier
• Subjects: Applied sciences; Computer science; control theory; systems; Condition number; Control system synthesis; Control theory. Systems; Cost function; Exact sciences and technology; General equipment and techniques; Instruments, apparatus, components and techniques common to several branches of physics and astronomy; NP-hard problem; Output feedback; Physics; Pole placement; Random search algorithm; Robustness; Servo and control equipment; robots; NP-hard problem; Condition number; Random search algorithm; Cost function; Pole placement; Robustness; Output feedback; Cost minimization; Probabilistic approach; Search algorithm; Pole assignment; Random search; Robust control; Closed loop control; Feedback; NP hard problem; Pole
• ISSN: 0019-0578; 1879-2022
• DOI: 10.1016/S0019-0578(07)60063-9

This paper presents a simple but effective method for finding a robust output feedback controller via a random search algorithm. The convergence of this algorithm can be guaranteed. Moreover, the probability to find a solution as well as the number of random trials can be estimated. The robustness of the closed-loop system is improved by the minimization of a given cost function reflecting the performance of the controller for a set of plants. Simulation studies are used to demonstrate the effectiveness of the proposed method.